In this case, the entire sentence will be split into 5 tokens (one for each word) with a value 1 as shown below –
The mapper phase in the WordCount example will split the string into individual tokens i.e. The key is the word from the input file and value is ‘1’.įor instance if you consider the sentence “An elephant is an animal”. The text from the input text file is tokenized into words to form a key value pair with all the words present in the input text file. Hadoop WordCount Example- Mapper Phase Execution Hadoop WordCount operation occurs in 3 stages – Word Count - Hadoop Map Reduce Example – How it works?
Pre-requisites to follow this Hadoop WordCount Example Tutorial
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This tutorial will help hadoop developers learn how to implement WordCount example code in MapReduce to count the number of occurrences of a given word in the input file. Hadoop MapReduce WordCount example is a standard example where hadoop developers begin their hands-on programming with. This hadoop tutorial aims to give hadoop developers a great start in the world of hadoop mapreduce programming by giving them a hands-on experience in developing their first hadoop based WordCount application. What will you learn from this Hadoop MapReduce Tutorial?